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Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
Wael Elwasif1, William Godoy1, Nick Hagerty1
1Oak Ridge National Laboratory, USA.
The Proceedings of International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2023 Workshops) : 27 February to 2 March 2023, Singapore. International Conference/Exhibition on High-Performance Computing in Th
|January 10, 2024
Summary
Ten teams successfully ported High Performance Computing (HPC) applications to a new Arm GPU testbed. The study confirms the Arm-based system
Area of Science:
- High Performance Computing (HPC)
- GPU acceleration
- Arm architecture
Background:
- Novel GPU-accelerated Arm testbed systems are emerging for HPC.
- Evaluating these systems requires porting, validation, and benchmarking of scientific applications.
Purpose of the Study:
- Assess the readiness of Arm-based GPU systems for HPC.
- Evaluate the developer effort for deploying scientific workloads on these platforms.
Main Methods:
- Ten teams ported, validated, and benchmarked HPC applications.
- Applications used various programming languages and GPU models (CUDA, OpenACC, OpenMP offloading).
- Tested on an eight-system NVIDIA Arm HPC Developer Kit testbed with Ampere CPUs and NVIDIA GPUs, connected via InfiniBand.
Main Results:
- The Arm-based GPU testbed demonstrated readiness for HPC workloads.
- Software and tools are sufficiently mature for large-scale production deployments.
- Case studies confirmed the viability of the Arm ecosystem for scientific computing.
Conclusions:
- Arm-based GPU-accelerated HPC systems are viable for production.
- The current software and toolchain maturity supports widespread adoption.
- Future HPC systems based on Arm architecture are promising.
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